LC Image supports more than 80 statistical features and metadata for blobs. See the white paper, GCxGC Blob Metadata and Statistics in GC Image, for details of each of the available metadata and computed attributes in LC Image. A few basic of the statistical features computed by LC Image are:
- peak indices - the indices of the largest valued sample in the blob,
- peak value - the largest value in the blob,
- area - the number of pixels in the blob, and
- volume - the sum of pixel values in the blob.
Some of the metadata features which can be set by the user in LC Image are:
- compound name - the name of the chemical compound associated with the blob,
- group name - the name of a chemical group to which the chemical compound associated with the blob belongs,
- inclusion flag - whether the blob is identified for inclusion in reporting,
- exclusion flag - whether the blob is identified for exclusion from all computations in reporting,
- internal standard - whether the chemical compound associated with the blob is an internal standard.
Step 1: Select one or more blobs using the select blobs cursor mode.
Step 2: Click the right mouse button. Depending on how many blobs
are selected, LC Image launches either a pop-up metadata dialog for a single
blob or a pop-up metadata dialog for multiple blobs.
Step 3: For a single blob metadata, set the desired compound name, group name, constellation name, inclusion flag, internal standard flag, and exclusion flag. For multiple blobs metadata, set the desired group name, constellation name, inclusion flag, internal standard flag, and exclusion flag.
Step 1: Select a blob(s) using the blob selection cursor. (Metadata Cut will work for multiple blobs, but Copy Metadata and Paste Metadata will not work for multiple blobs.)
Step 2: Select Cut Metadata, Copy Metadata, or Paste Metadata from the Edit menu of the Image Viewer or click the appropriate button on the Image Viewer bar. LC Image modifies the blob table accordingly.
Step 1: Select Blob Table from the View menu
of the Image Viewer or click the Blob Table button
on the Image Viewer tool bar.
LC Image launches Blob Table viewer.
Step 2: Use the scroll bars to navigate the blob table. Sort the table by clicking on a column header (and click again to reverse order).
Step 1: Bring up the blob table.
Step 2: Click on a row of the blob table selects the blob. Click and click again with the shift key selects a range of blobs. Click with the control key adds a selection. Selected blobs are highlighted graphically in the Image Viewer.
Step 1: Select Save Blob Table from the File menu
of the Image Viewer.
LC Image launches a pop-up dialog.
Step 2: Enter the file name for the Blob Table .csv file, using
the file-system browser if desired, and indicate whether all blobs,
included blob, excluded blobs or areas are written to the file.
Step 1: Select Configure Blob Table from the Configure
menu of the Image Viewer.
LC Image launches the Configure Blob Table pop-up dialog.
Step 2: Select the desired features.
- Include desired feature(s) by click-and-pointing invisible feature(s), using Shift-Click to select a range and control-click to select additional features, and then clicking the add button.
- Un-include feature(s) by click-and-pointing visible feature(s) and then clicking the remove button.
- The feature list can be ordered by selecting the location for changed features on the destination list.
If desired, save the blob table configuration as the default. Then click the OK button.
Step 1: Create a graphic object.
Step 2: Set the inclusion flag for the graphic object. For point and polyline graphics, the blob set is defined by intersection of the graphic with blobs. For a rectangle and polygon graphics, the blob set is defined by containment of the blob peaks by the graphic.
Step 1: Select Blob Set Table from the View menu
of the Image Viewer or click the Blob Set Table button
on the Image Viewer tool bar.
LC Image launches the Blob Set Table viewer.
Step 2: Use the scroll bars to navigate the blob set table. Sort the table by clicking on a column header (and click again to reverse order).
Step 1: Bring up the blob set table.
Step 2: Click on a row of the blob set table selects the blobs in the blob set. Click and click again with the shift key selects a range of blobs. Click with the control key adds a selection. Selected blobs are highlighted graphically in the Image Viewer.
Step 1: Select Save Blob Set Table from the File
menu of the Image Viewer. LC Image launches a pop-up dialog.
Step 2: Enter the file name for the CSV .csv file, using
the file-system browser if desired.
Step 1: Select Find Blobs from the Edit menu of the
Image Viewer.
LC Image launches a pop-up dialog.
Step 2: Select the desired criteria. Then click the OK button.
Step 1: Optionally, select one or more blobs. (Otherwise, all blobs are visualized.)
Step 2: Select Visualize Blobs from the View menu
of the Image Viewer.
LC Image launches a tool for graphing bi-variate relationships for blob
statistics.
Step 3: Select the desired blob statistic for each axis.
Step 1: Perform Visualize Blobs.
Step 2: Designate a set of points in the graph by drawing a polygon
around them - clicking at each vertex and double-clicking at the final
vertex.
Step 3: Click the Assign Properties button to bring up a popup for setting the selected blobs metadata.
Step 4: Set the properties of the designated blobs and click the OK button.
Use the CLIC tool.